Getting started
Quick start guide
MLJAR Studio is a new way for creating Python programs. It is a notebook based development environment with interactive code recipes and managed Python environment. All running locally on your machine.
How does it work?
- - MLJAR Studio is based on Python notebook. It consists of code cells with Python code or Markdown.
- - Each cell has a Piece of Code extension at the top, available after click in cell text editor.
- - You can seach for code recipes in Piece of Code.
- - Each code recipe has a Graphical User Interface, which is used for Python code generation.
- - Fill User Interface with your data. When you are ready, click green Run button to submit code for execution.
Quick links
Get MLJAR Studio
Open MLJAR Licenses portal and download MLJAR Studio installer for your operating system.
Install instructions
Check install instructions for MLJAR Studio. Install it locally on your machine.
New notebook
First steps to on how to create a new notebook in MLJAR Studio.
Support
Please feel free to contact us if you have questions or need any help.
Code recipes
Available recipes are grouped in cookbooks based on subject. They are listed below. Please select cookbook to check Python code recipes.
Python code snippets
Collection of Python code recipes.
Markdown cheatsheet
Markdown code formatting snippets
Read data in Python
Read files in Python.
Write data in Python
Collection of code recipies to save your data into files. You can save DataFrames to file. You can save any Python object using Pickle module.
Postgresql recipes
Connect to your Postgrasql database. Run raw sql query of use one of our recipes. Create pandas dataframe straingt from SELECT query result. Credentials are stored in .env file
Data wrangling in Python
Prepare and preprocess your data in Python.
Matplotlib
Create matplotlib plots with no-code UI.
Scikit-learn recipes
Machine Learning code recipes with Scikit-learn.
AutoML in Python
Train MLJAR AutoML in Python with no-code.
Python images operations using AI
Python image operations are much easier when you use AI. Removing background from the single image or all images in the given directory with any extension and displaying them in Jupyter Notebook.
Python code recipes for OpenAI
Doing operations with AI help has never been that easy! You can generate images, voices, text, and much more. All you need is an API KEY from OpenAI and MLJAR STUDIO will do the rest.
Python code recipes for PDF operations
Discover essential PDF operations in Python with our comprehensive guide. Learn how to create, modify, and extract data from PDFs using popular libraries. Perfect for developers and data enthusiasts alike!
Python code recipes for operations in Google Sheets
Discover how to integrate Google Sheets with Python. Learn to automate tasks, manage data, and enhance your productivity with practical examples and easy-to-follow instructions.